1 00:00:02,640 --> 00:00:04,720 Speaker 1: Welcome back to a Numbers Games Ryan Grotski, thank you 2 00:00:04,760 --> 00:00:07,840 Speaker 1: guys for being here. I love the Ask Me Anything 3 00:00:07,880 --> 00:00:10,159 Speaker 1: the segment of this podcast. It was the idea that 4 00:00:10,200 --> 00:00:13,600 Speaker 1: Buck Sexton gave me and to incorporate in the podcast, 5 00:00:13,600 --> 00:00:16,319 Speaker 1: and it's really taken off so many things that I 6 00:00:16,440 --> 00:00:19,200 Speaker 1: do for work or just very isolated because I work 7 00:00:19,320 --> 00:00:22,720 Speaker 1: basically alone in my house alone and I'll send out 8 00:00:22,760 --> 00:00:24,560 Speaker 1: emails or I have a producer who listens to me, 9 00:00:24,600 --> 00:00:27,760 Speaker 1: but it's very one on one. So this is how 10 00:00:28,040 --> 00:00:30,760 Speaker 1: I can connect with tens of thousands of people who 11 00:00:30,800 --> 00:00:33,479 Speaker 1: listen to every episode and it's I really appreciate it. 12 00:00:33,560 --> 00:00:35,720 Speaker 1: I think it makes the podcast what it is and 13 00:00:35,880 --> 00:00:38,200 Speaker 1: lets me know that you guys are interested in anything 14 00:00:38,240 --> 00:00:41,200 Speaker 1: I'm saying. So and how I'm mentioned by the way 15 00:00:41,200 --> 00:00:42,760 Speaker 1: in what you guys say, and I want to build 16 00:00:42,920 --> 00:00:46,120 Speaker 1: a podcast episode around what you're talking about. Okay, So 17 00:00:46,200 --> 00:00:48,640 Speaker 1: if you want to part a future Ask Me Anythings 18 00:00:49,200 --> 00:00:52,240 Speaker 1: email me Ryan at Numbers Gamepodcast dot com. It's Ryan 19 00:00:52,280 --> 00:00:55,400 Speaker 1: at Numbers Plural Numbers gamepodcast dot com. This episode is 20 00:00:55,440 --> 00:00:58,040 Speaker 1: a whole ask Me Anything episode. I'm going to go 21 00:00:58,080 --> 00:01:00,000 Speaker 1: into a lot of your questions that I was very bad. 22 00:01:00,280 --> 00:01:02,880 Speaker 1: I actually started getting email saying why haven't you answered 23 00:01:02,880 --> 00:01:05,800 Speaker 1: my question yet? So let's go through them. Let's get 24 00:01:05,800 --> 00:01:08,360 Speaker 1: through this episode and give you guys everything you wanted 25 00:01:08,360 --> 00:01:11,920 Speaker 1: to know. So, first of all, this question comes from Michael. 26 00:01:11,959 --> 00:01:14,200 Speaker 1: It says you do a great job on your podcast. 27 00:01:14,280 --> 00:01:17,280 Speaker 1: Why does the Trump administration not publicize the backgrounds of 28 00:01:17,319 --> 00:01:19,840 Speaker 1: the illegal aliens they are deporting? There are hundreds of 29 00:01:19,920 --> 00:01:22,039 Speaker 1: vicious criminals they have arrested, but they do not know 30 00:01:22,120 --> 00:01:25,440 Speaker 1: their crimes, give details of their crimes. They should highlight 31 00:01:25,480 --> 00:01:28,199 Speaker 1: the suffering of the victims. Same with closing the border 32 00:01:28,240 --> 00:01:30,760 Speaker 1: or stopping the trafficking of women and children. How about 33 00:01:30,800 --> 00:01:32,920 Speaker 1: the stories of all those girls and women who are 34 00:01:32,959 --> 00:01:35,200 Speaker 1: raped as they travel across the border. I know some 35 00:01:35,280 --> 00:01:38,360 Speaker 1: are hoaxes, but some are real. Ice has been framed 36 00:01:38,360 --> 00:01:40,440 Speaker 1: as a moral issue, so the GOP should fight on 37 00:01:40,440 --> 00:01:43,440 Speaker 1: a moral terms. That's a great point about the moral terms. 38 00:01:43,600 --> 00:01:46,760 Speaker 1: But they do actually publicize the crimes. You can go 39 00:01:46,800 --> 00:01:50,480 Speaker 1: to DHS dot gov slash wow, and you can see 40 00:01:50,520 --> 00:01:52,000 Speaker 1: all the worst of the worst. You can see what 41 00:01:52,040 --> 00:01:55,640 Speaker 1: they've done their offenses. I know DHS will regularly tweet 42 00:01:55,640 --> 00:01:58,680 Speaker 1: out the criminals that they've arrested of the posts on 43 00:01:58,760 --> 00:02:01,800 Speaker 1: social media. So they do put them out there. It's 44 00:02:01,840 --> 00:02:04,040 Speaker 1: not that they don't, it's that you have to look 45 00:02:04,080 --> 00:02:06,320 Speaker 1: for them because the media doesn't really pick it up. 46 00:02:06,720 --> 00:02:09,800 Speaker 1: There was a video just last week in Minnesota where 47 00:02:09,840 --> 00:02:12,679 Speaker 1: a man was arrested carrying fifty pounds of drugs. I 48 00:02:12,680 --> 00:02:15,760 Speaker 1: think it was methamphetamines on him. Ice arrested him at 49 00:02:15,760 --> 00:02:18,000 Speaker 1: the mall. And you have all these dumb liberal women 50 00:02:18,040 --> 00:02:21,080 Speaker 1: with fufahs saying they're whistling around, sitting there and you know, 51 00:02:21,360 --> 00:02:24,440 Speaker 1: playing pretending that they're freedom fighters. But you can see 52 00:02:24,480 --> 00:02:27,680 Speaker 1: the worst of the worst. They are easily and readily available. 53 00:02:27,919 --> 00:02:29,880 Speaker 1: The being stream media does not cover it and does 54 00:02:29,919 --> 00:02:33,480 Speaker 1: not pick it up. Okay, next question comes from TOMASO. Ryan. 55 00:02:33,560 --> 00:02:37,240 Speaker 1: My man, don't worry about the speech dialect stuff. This 56 00:02:37,200 --> 00:02:41,440 Speaker 1: is such a repeated email topic. Is my manner of 57 00:02:41,480 --> 00:02:44,560 Speaker 1: speaking in my dialect? But he says, at least you 58 00:02:44,600 --> 00:02:47,320 Speaker 1: ain't me what you're talking about and two yuts And 59 00:02:47,360 --> 00:02:50,400 Speaker 1: as an Italian transplant to Brooklyn in the seventies, I 60 00:02:50,480 --> 00:02:52,440 Speaker 1: learned a thing or two about being corrected once I 61 00:02:52,480 --> 00:02:55,440 Speaker 1: moved to La Remember the joke what caused the tower 62 00:02:55,480 --> 00:02:58,760 Speaker 1: piece to start leading. It got Itali sized and one 63 00:02:58,880 --> 00:03:03,079 Speaker 1: old Brooklyn. One is Italian Coke, British police German administrator 64 00:03:03,080 --> 00:03:05,799 Speaker 1: of the government, and hell is a British Coke German 65 00:03:05,840 --> 00:03:08,000 Speaker 1: at the police and Italians running the government. That's an 66 00:03:08,040 --> 00:03:10,639 Speaker 1: old joke now because actually Italians have a good government, 67 00:03:10,720 --> 00:03:13,880 Speaker 1: British have decent food in the Germans came run anything, Somas, 68 00:03:14,040 --> 00:03:16,480 Speaker 1: thank you for that email. There wasn't a question. It 69 00:03:16,520 --> 00:03:19,360 Speaker 1: was just about my accent. So I was born and 70 00:03:19,480 --> 00:03:22,400 Speaker 1: raised in Queens, New York. My mother's family is completely 71 00:03:22,480 --> 00:03:26,800 Speaker 1: Italian for multiple generations in America. She was raised in Brooklyn. 72 00:03:26,840 --> 00:03:29,200 Speaker 1: My grandpa was raised in the Lower East Side of Manhattan. 73 00:03:29,360 --> 00:03:35,080 Speaker 1: I have managed to make sure my accent is manageable 74 00:03:35,160 --> 00:03:38,480 Speaker 1: to people and not too irritating. I have kicked like 75 00:03:38,560 --> 00:03:40,560 Speaker 1: terms like what you might call it out of my 76 00:03:40,960 --> 00:03:44,760 Speaker 1: regular vocabulary. And I actually noticed now when my friends 77 00:03:45,320 --> 00:03:48,200 Speaker 1: from Queens born and raised say it very frequently, my 78 00:03:48,240 --> 00:03:50,680 Speaker 1: family says it very frequently too. The funniest thing about 79 00:03:50,720 --> 00:03:53,000 Speaker 1: being brought up Italian how I was was that my 80 00:03:53,160 --> 00:03:56,640 Speaker 1: maternal grandmother, my mother's mother, her family was like on 81 00:03:56,760 --> 00:03:59,600 Speaker 1: the first boat to America. Not only was she born 82 00:03:59,600 --> 00:04:02,280 Speaker 1: in America and her parents born in America, but I 83 00:04:02,280 --> 00:04:05,560 Speaker 1: think most of her grandparents were born in America. She 84 00:04:05,680 --> 00:04:09,040 Speaker 1: knew virtually no Italian at all, like literally at all, 85 00:04:09,440 --> 00:04:13,000 Speaker 1: and she she used to make up Italian expressions I 86 00:04:13,040 --> 00:04:15,120 Speaker 1: guess to fit in or with things that she heard 87 00:04:15,120 --> 00:04:16,839 Speaker 1: that she thought that, you know what they meant, and 88 00:04:16,880 --> 00:04:19,520 Speaker 1: she would put her own little Rosie list to sort 89 00:04:19,520 --> 00:04:23,599 Speaker 1: of spin on things. So, I mean, she at times 90 00:04:23,640 --> 00:04:26,240 Speaker 1: spoke Italian like the Swedish chip on them up. It 91 00:04:26,360 --> 00:04:29,400 Speaker 1: spoke Swedish like it was very that, but I thought 92 00:04:29,440 --> 00:04:31,520 Speaker 1: it was real growing up. So when I finally took 93 00:04:31,560 --> 00:04:34,600 Speaker 1: Italian in college, I confronted her. I was like, Grandma, 94 00:04:34,640 --> 00:04:37,360 Speaker 1: everything you've been telling me all this time is not real. 95 00:04:37,400 --> 00:04:39,000 Speaker 1: And she would say like things like, well, who are 96 00:04:39,000 --> 00:04:41,000 Speaker 1: gonna believe me as some stranger you met at school, 97 00:04:41,440 --> 00:04:45,400 Speaker 1: referring to the professor, So thank you for your email. 98 00:04:45,720 --> 00:04:48,440 Speaker 1: I think the dialect is manageable. It's never gonna be 99 00:04:48,520 --> 00:04:51,760 Speaker 1: fully gone. And I like people who have a little 100 00:04:51,800 --> 00:04:53,840 Speaker 1: bit of an accent from whatever they're from, as long 101 00:04:53,839 --> 00:04:56,760 Speaker 1: as not over the top. Ironically, you know, it's so 102 00:04:56,800 --> 00:05:01,679 Speaker 1: funny characters who on old TV shows who were from 103 00:05:01,800 --> 00:05:04,599 Speaker 1: a place did not carry those dialects. Like if you 104 00:05:04,600 --> 00:05:06,839 Speaker 1: think of back, like the Golden Girls, Rose was from 105 00:05:06,960 --> 00:05:10,080 Speaker 1: very much from Minnesota, didn't sound like someone from Minnesota 106 00:05:10,080 --> 00:05:12,520 Speaker 1: at all, never even pretended to have the accent. And 107 00:05:12,600 --> 00:05:15,240 Speaker 1: like Dorothy was from New York, but like didn't have 108 00:05:15,320 --> 00:05:17,320 Speaker 1: the accent, but her mother, who was from Italy, had 109 00:05:17,360 --> 00:05:19,720 Speaker 1: a New York accent. Anyway, I don't know, thinking about 110 00:05:19,720 --> 00:05:22,200 Speaker 1: those things is really funny. Anyway, thank you for your email. 111 00:05:22,360 --> 00:05:24,440 Speaker 1: Next question comes from Robert dis He says, I have 112 00:05:24,520 --> 00:05:27,039 Speaker 1: three questions. Don't worry about answering all of them. I'll 113 00:05:27,080 --> 00:05:29,960 Speaker 1: answer all of them. First question, polling shows that a 114 00:05:30,040 --> 00:05:33,479 Speaker 1: majority of Americans feel their personal financial situation has improved, 115 00:05:33,480 --> 00:05:37,680 Speaker 1: while other polls currently show economic confidence has dipped to 116 00:05:37,720 --> 00:05:40,120 Speaker 1: the lowest points since COVID. I understand that these are 117 00:05:40,160 --> 00:05:43,599 Speaker 1: two technically separate questions, but I feel like those should 118 00:05:43,640 --> 00:05:47,600 Speaker 1: generally move in the same direction. Is it just pull wording? 119 00:05:47,839 --> 00:05:50,839 Speaker 1: What am I missing? It's about anxiety, that's like the 120 00:05:50,880 --> 00:05:54,000 Speaker 1: really big thing. Honestly, there are a lot of indicators 121 00:05:54,000 --> 00:05:56,680 Speaker 1: in the economy that has gotten better. Right. Inflation is 122 00:05:56,720 --> 00:06:00,800 Speaker 1: obviously down, certain prices are actually declined, there is a 123 00:06:00,880 --> 00:06:04,119 Speaker 1: little bit of stability when it comes to layoffs. Right now, 124 00:06:04,600 --> 00:06:07,360 Speaker 1: hiring is not where it should be, But there's overall 125 00:06:07,480 --> 00:06:11,279 Speaker 1: anxiety and that's really where the fever pitches. People are 126 00:06:11,279 --> 00:06:12,960 Speaker 1: where if their kid can get a job, if they 127 00:06:12,960 --> 00:06:15,720 Speaker 1: can maintain a job, will AI take their job. There's 128 00:06:15,760 --> 00:06:19,919 Speaker 1: a lot of conversations around AI and outsourcing and Trump's 129 00:06:19,960 --> 00:06:22,479 Speaker 1: decision to do the tariffs the way that he did 130 00:06:23,240 --> 00:06:28,560 Speaker 1: really affected people's ability to think of the economy as stable. 131 00:06:29,080 --> 00:06:32,560 Speaker 1: People do not like uncertainty, The markets don't like uncertainty. 132 00:06:32,600 --> 00:06:35,520 Speaker 1: And what does Trump For all the good things that 133 00:06:35,560 --> 00:06:37,640 Speaker 1: he does, what's one of the bad things that he does? 134 00:06:37,760 --> 00:06:41,039 Speaker 1: He makes people very uncertain. And so the way that 135 00:06:41,040 --> 00:06:44,360 Speaker 1: these handled tariffs have not ruined the economy in any 136 00:06:44,440 --> 00:06:49,760 Speaker 1: shape or form, the media narrative would make you think otherwise. 137 00:06:49,960 --> 00:06:54,200 Speaker 1: And the way he has been less than tactical with 138 00:06:54,440 --> 00:06:59,160 Speaker 1: trying to release these tariffs has definitely brought out a 139 00:06:59,160 --> 00:07:02,200 Speaker 1: lot of anxiety people. Second question, I listened to Scott 140 00:07:02,600 --> 00:07:05,200 Speaker 1: Rasmussen's podcast, who said that Trump's face is just as 141 00:07:05,240 --> 00:07:08,680 Speaker 1: motivated as liberals and progressives are, and it's traditional Republicans 142 00:07:08,680 --> 00:07:11,960 Speaker 1: and right leaning independents who are might likely stay home. However, 143 00:07:12,000 --> 00:07:15,840 Speaker 1: we also hear how challenge to the Trump coalitions that 144 00:07:15,880 --> 00:07:19,320 Speaker 1: the GOP traded high frequency voters with low frequency voters. 145 00:07:19,440 --> 00:07:22,200 Speaker 1: I feel like the observation is true but contradictory. How 146 00:07:22,200 --> 00:07:24,120 Speaker 1: do you reconcile it? I don't know where Scott got 147 00:07:24,160 --> 00:07:26,520 Speaker 1: that information from. I'd have to really like listen to 148 00:07:26,560 --> 00:07:29,280 Speaker 1: the whole episode and listen if he's saying talking about 149 00:07:29,280 --> 00:07:32,520 Speaker 1: midterms or just the specials. But I will say this, 150 00:07:32,600 --> 00:07:34,280 Speaker 1: and I respect Scott a lot of men, and many 151 00:07:34,320 --> 00:07:36,320 Speaker 1: times in green about Fox News when I was there. 152 00:07:37,160 --> 00:07:40,400 Speaker 1: There's a lot of different Trump voters, right. There's the 153 00:07:40,600 --> 00:07:43,720 Speaker 1: three time Trump voter who goes to the rallies. There's 154 00:07:43,760 --> 00:07:46,760 Speaker 1: the casual one who voted just twenty twenty four because 155 00:07:46,800 --> 00:07:49,640 Speaker 1: they hated Biden, or they had economic anxieties, or they 156 00:07:49,720 --> 00:07:51,880 Speaker 1: liked the vibes if they watched the Joe Rogan podcast. 157 00:07:52,120 --> 00:07:55,800 Speaker 1: There's independents who are Trump Biden Trump voters. There's people 158 00:07:55,840 --> 00:07:58,960 Speaker 1: like that that exist. I imagine he's talking about the 159 00:07:59,080 --> 00:08:02,960 Speaker 1: three time voter and they are probably highly motivated, but 160 00:08:03,040 --> 00:08:07,760 Speaker 1: it's not that is not a capture of the entire 161 00:08:07,920 --> 00:08:11,320 Speaker 1: Trump base. Okay, last question, Robert, he I live in 162 00:08:11,320 --> 00:08:15,240 Speaker 1: Texas where new arrivals are the don't come, don't California 163 00:08:15,240 --> 00:08:18,160 Speaker 1: in my Texas. Same for New Yorker's moving to Flora. However, 164 00:08:18,200 --> 00:08:20,320 Speaker 1: I wonder if the reason part of the partially that 165 00:08:20,360 --> 00:08:22,760 Speaker 1: Texas has to consistently read while California has trend to 166 00:08:22,760 --> 00:08:24,920 Speaker 1: even bluer, is the majority of people even California were 167 00:08:24,920 --> 00:08:27,040 Speaker 1: Republican voters. I want to say, I've read some of 168 00:08:27,120 --> 00:08:30,080 Speaker 1: about the twenty eighteen center race. Beto O'Rourke won a 169 00:08:30,120 --> 00:08:32,480 Speaker 1: majority of people born in Texas, but CRUs one of 170 00:08:32,480 --> 00:08:35,440 Speaker 1: a majority of non Texas born voters. Okay, this is 171 00:08:35,559 --> 00:08:38,240 Speaker 1: thank you so much, Robert for bringing up this. This 172 00:08:38,280 --> 00:08:40,800 Speaker 1: is something that triggers me on a regular basis whenever 173 00:08:40,840 --> 00:08:43,000 Speaker 1: it's brought up to me. No, and and I really 174 00:08:43,040 --> 00:08:45,920 Speaker 1: actually do appreciate you because I do know exactly what 175 00:08:45,960 --> 00:08:48,680 Speaker 1: you're talking about. And this has driven me nuts since 176 00:08:48,720 --> 00:08:51,680 Speaker 1: it was published, you know, six years ago or eight 177 00:08:51,760 --> 00:08:54,400 Speaker 1: years ago, because I'm very healthy mentally that this would 178 00:08:54,400 --> 00:08:56,920 Speaker 1: bother me for eight years, but it does. This was 179 00:08:56,960 --> 00:08:59,600 Speaker 1: an exit poll that was done by CNN in the 180 00:08:59,600 --> 00:09:02,560 Speaker 1: twenty eighteen election. It was actually missed. You know miss 181 00:09:02,800 --> 00:09:04,880 Speaker 1: written up. They said Georgian side of Texas. But what 182 00:09:04,920 --> 00:09:08,280 Speaker 1: they did was they looked at the Texas the voting 183 00:09:08,320 --> 00:09:11,320 Speaker 1: block in their exit polls, and they said that a 184 00:09:11,440 --> 00:09:13,920 Speaker 1: majority of people who voted in Texas was born in 185 00:09:13,920 --> 00:09:17,960 Speaker 1: Texas had voted for Beto O'Rourke. Remember, exit polls have 186 00:09:18,040 --> 00:09:19,800 Speaker 1: a lot of flaws in them. They don't go out, 187 00:09:19,840 --> 00:09:23,400 Speaker 1: so the rural areas been often most often. They seem 188 00:09:23,480 --> 00:09:26,680 Speaker 1: to sometimes over sample certain demographics. This happened also in 189 00:09:26,720 --> 00:09:30,559 Speaker 1: twenty eighteen Florida where they said one in five black 190 00:09:30,600 --> 00:09:32,960 Speaker 1: women voted for Ronda Santas. That is not true. That 191 00:09:33,080 --> 00:09:35,240 Speaker 1: was never true. There were a whole op eds written 192 00:09:35,280 --> 00:09:38,880 Speaker 1: about this about like this proves black people love school choice. 193 00:09:38,960 --> 00:09:41,800 Speaker 1: It literally wasn't true. A lot of exit polls get 194 00:09:41,800 --> 00:09:45,160 Speaker 1: it wrong quite often, so I don't think this was 195 00:09:45,240 --> 00:09:48,040 Speaker 1: actually accurate, this exit pole that seen and had. Secondly, 196 00:09:48,120 --> 00:09:51,040 Speaker 1: if you look a map at the Texas election from 197 00:09:51,080 --> 00:09:55,239 Speaker 1: twenty eighteen, look at places that have a higher percentage 198 00:09:55,240 --> 00:09:59,160 Speaker 1: of native born Texans in them, West Texas, East Texas, 199 00:09:59,400 --> 00:10:03,080 Speaker 1: and you see huge numbers for for Ted Cruz, I 200 00:10:03,320 --> 00:10:05,400 Speaker 1: doubt and where you see a lot of the highest 201 00:10:05,400 --> 00:10:08,520 Speaker 1: percentage transplants. You see them swinging towards Beto O'Rourke. I 202 00:10:08,600 --> 00:10:12,200 Speaker 1: don't believe it on its face, but that The one 203 00:10:12,200 --> 00:10:15,120 Speaker 1: interesting that that CNN Say did was they also broke 204 00:10:15,160 --> 00:10:17,320 Speaker 1: it down with have you were you born in Texas, 205 00:10:17,360 --> 00:10:20,520 Speaker 1: which they said Beta won those people fifty one forty eight. 206 00:10:20,559 --> 00:10:21,920 Speaker 1: I kind of don't believe it. Whatever, it was my 207 00:10:22,040 --> 00:10:25,040 Speaker 1: three point margin. Though. Then they asked have you lived 208 00:10:25,080 --> 00:10:28,480 Speaker 1: in Texas for more than ten years? And among people 209 00:10:28,480 --> 00:10:31,640 Speaker 1: who lived in Texas for more than ten years, Cruise 210 00:10:31,760 --> 00:10:35,320 Speaker 1: won them by thirty points, which the only way then 211 00:10:35,360 --> 00:10:37,680 Speaker 1: you get to the number that he actually won by 212 00:10:37,880 --> 00:10:42,480 Speaker 1: is that the recent migrants from California were very liberal. 213 00:10:43,000 --> 00:10:47,160 Speaker 1: So it's not that the newest flock are all Republican leaving. 214 00:10:47,280 --> 00:10:51,120 Speaker 1: It's also the people who left ten years ago were Republican. 215 00:10:51,360 --> 00:10:53,600 Speaker 1: That's probably more accurate. I think that's probably the most 216 00:10:53,640 --> 00:10:58,079 Speaker 1: accurate part of the study. But once again it's changed 217 00:10:58,080 --> 00:11:00,800 Speaker 1: a lot because that was published after COVID. COVID really 218 00:11:00,880 --> 00:11:03,200 Speaker 1: changed everything in twenty twenty four. The New York Times 219 00:11:03,200 --> 00:11:07,280 Speaker 1: that are really fantastic job breaking down how people who 220 00:11:07,400 --> 00:11:11,880 Speaker 1: move vote and where they end up. And obviously Republican voters, 221 00:11:11,960 --> 00:11:14,200 Speaker 1: no matter what the state is, tend to move to 222 00:11:14,280 --> 00:11:17,720 Speaker 1: Republican areas. Democratic voters tend to move to democratic areas. 223 00:11:17,960 --> 00:11:20,960 Speaker 1: They found that people who moved to Texas since COVID 224 00:11:21,320 --> 00:11:25,920 Speaker 1: are much more Republican than native Texans. Texas voted R 225 00:11:26,000 --> 00:11:28,680 Speaker 1: plus five in the twenty twenty election. The people who 226 00:11:28,760 --> 00:11:31,600 Speaker 1: move to Texas during COVID are they vote on average 227 00:11:31,760 --> 00:11:35,280 Speaker 1: R plus twenty, according to the New York Times study 228 00:11:35,320 --> 00:11:39,280 Speaker 1: on this. So anyway, that's a great. But that's great 229 00:11:39,320 --> 00:11:40,840 Speaker 1: that you've brought this up, because it's something that lives 230 00:11:40,880 --> 00:11:43,600 Speaker 1: in my head kind of rent free. Lastly, you write it. Lastly, 231 00:11:43,640 --> 00:11:45,800 Speaker 1: I love your gossip segments. Whenever you're on Megan McCain 232 00:11:45,920 --> 00:11:49,880 Speaker 1: show and you shout allegedly every five seconds, I die 233 00:11:49,880 --> 00:11:53,440 Speaker 1: of laughter. Thank you. Yeah, I know a lot of gossip, 234 00:11:53,600 --> 00:11:55,720 Speaker 1: and I hear a lot of gossip, and I have 235 00:11:55,920 --> 00:12:00,440 Speaker 1: to one be very prudish in not sharing every breathing 236 00:12:00,520 --> 00:12:02,520 Speaker 1: I hear because there's a lot of fake stuff out there, 237 00:12:02,520 --> 00:12:04,400 Speaker 1: and I have to sit there in and be my 238 00:12:04,440 --> 00:12:07,080 Speaker 1: own editor and say that sounds really like fake whatever. 239 00:12:07,440 --> 00:12:09,480 Speaker 1: But I hear a lot of stuff. So when I'm 240 00:12:09,600 --> 00:12:11,840 Speaker 1: feeling it, and I'm talking to Megan, who's a friend 241 00:12:11,880 --> 00:12:14,160 Speaker 1: of mine. She's a sweetheart. I kind of get a 242 00:12:14,160 --> 00:12:15,960 Speaker 1: little loose and I'm like, you know what I'll say. 243 00:12:16,000 --> 00:12:18,040 Speaker 1: I'll drop a few hints. But let me say allegedly 244 00:12:18,120 --> 00:12:20,600 Speaker 1: to protect myself, but that's true. I don't ask for 245 00:12:20,640 --> 00:12:22,160 Speaker 1: the gossip. By the way, they come to me. The 246 00:12:22,200 --> 00:12:24,000 Speaker 1: streets talk, and they talk to me. I don't ask 247 00:12:24,000 --> 00:12:25,760 Speaker 1: for them. Anyway. We'll be back with more Ask Me 248 00:12:25,760 --> 00:12:31,000 Speaker 1: Anything coming up next. Welcome back to the Asking Me 249 00:12:31,040 --> 00:12:34,360 Speaker 1: Anything episode. This email comes from our Shannon. She writes, 250 00:12:34,400 --> 00:12:37,120 Speaker 1: can you please explain the negatives of the Save Act? 251 00:12:37,440 --> 00:12:39,920 Speaker 1: Is it true I think by R Shannon may be 252 00:12:40,000 --> 00:12:42,439 Speaker 1: a woman. I'm just guessing. R. Shannon, whoever you are, 253 00:12:42,480 --> 00:12:43,959 Speaker 1: you may not be a woman. Shannon could be a 254 00:12:44,040 --> 00:12:46,080 Speaker 1: last name. Please explain the negatives of the Save Act. 255 00:12:46,120 --> 00:12:47,840 Speaker 1: Is it true that if you change your last name 256 00:12:47,840 --> 00:12:50,240 Speaker 1: you can't pass? Is it true that if you can't 257 00:12:50,240 --> 00:12:53,280 Speaker 1: find your birth certificate you can't vote? Obviously the DMB 258 00:12:53,559 --> 00:12:57,000 Speaker 1: thing is asinine and completely racist. And honestly, if someone 259 00:12:57,040 --> 00:12:59,240 Speaker 1: is too lazy to get an ID, they should should 260 00:12:59,240 --> 00:13:02,200 Speaker 1: they be able to vote? Question mark? Okay, So for 261 00:13:02,320 --> 00:13:04,240 Speaker 1: those who don't know, The Save Act is a bill 262 00:13:04,280 --> 00:13:07,200 Speaker 1: that's quickly making its way through Congress that require proof 263 00:13:07,200 --> 00:13:11,400 Speaker 1: of citizen to proof of citizenship to register to vote. 264 00:13:11,720 --> 00:13:17,760 Speaker 1: It also says a driver's license no longer counts as 265 00:13:17,840 --> 00:13:22,320 Speaker 1: proof of citizenship. Why nineteen states handout driver's licenses to 266 00:13:22,400 --> 00:13:26,680 Speaker 1: illegal immigrants. So among the most notable parts of the 267 00:13:26,720 --> 00:13:30,280 Speaker 1: bill is the requirement to prove citizenship before registering to vote. 268 00:13:30,520 --> 00:13:35,079 Speaker 1: Documents accepted include birth certificates, US passports, and certain versions 269 00:13:35,080 --> 00:13:38,920 Speaker 1: of the real ID that indicate citizenship. Detractors of the 270 00:13:38,960 --> 00:13:41,760 Speaker 1: Save Act. This is from MPR. Detractors say backs say 271 00:13:41,760 --> 00:13:44,760 Speaker 1: that millions people will be ineligible to vote because they 272 00:13:44,800 --> 00:13:48,200 Speaker 1: either don't have a passport, naturalization paper's real ID, or 273 00:13:48,240 --> 00:13:51,280 Speaker 1: their birth certificate. So here's what the So, here's what 274 00:13:51,320 --> 00:13:54,240 Speaker 1: the law actually says. I actually pulled up the law. 275 00:13:54,280 --> 00:13:56,439 Speaker 1: If it sounds a little legal ease, and you're like, Ryan, 276 00:13:56,520 --> 00:13:58,480 Speaker 1: did you have a stroke, I didn't. I'm reading from 277 00:13:58,520 --> 00:14:01,280 Speaker 1: a law, so it sounds like an official government document. 278 00:14:02,080 --> 00:14:03,959 Speaker 1: The law says this when it comes to people who 279 00:14:04,000 --> 00:14:07,160 Speaker 1: cannot find documents or change their name because of marriage 280 00:14:07,240 --> 00:14:11,160 Speaker 1: or whatever. It says the process for those without documentary proof. 281 00:14:11,520 --> 00:14:15,160 Speaker 1: In general, subject to any relevant guidance adopted by the 282 00:14:15,200 --> 00:14:19,480 Speaker 1: Election Assistance Commission, each state shall establish a process under 283 00:14:19,520 --> 00:14:23,320 Speaker 1: which an applicant who cannot provide documentary proof of US 284 00:14:23,360 --> 00:14:27,120 Speaker 1: citizenship under paragraph that's real idea in the passport under 285 00:14:27,160 --> 00:14:33,080 Speaker 1: paragraph one may, if applicants signs an attestation under penalty 286 00:14:33,120 --> 00:14:37,360 Speaker 1: of perjury that the applicant is a US citizen and 287 00:14:37,560 --> 00:14:41,480 Speaker 1: eligible to voting elections for federal office, submit such an 288 00:14:41,560 --> 00:14:46,040 Speaker 1: other evidence to the appropriate state or local office demonstrating 289 00:14:46,240 --> 00:14:48,960 Speaker 1: that their applicant is a citizen of the US. Such 290 00:14:48,960 --> 00:14:51,960 Speaker 1: officials shall make a determination as to whether the applicant 291 00:14:52,000 --> 00:14:55,760 Speaker 1: is officially established US citizenship for the purpose of registering 292 00:14:55,800 --> 00:14:58,280 Speaker 1: to vote in an election for federal office in the state. 293 00:14:58,680 --> 00:15:02,920 Speaker 1: In other words, a woman who has changed her name 294 00:15:03,000 --> 00:15:05,520 Speaker 1: because she got married, if she has to go registered 295 00:15:05,520 --> 00:15:08,160 Speaker 1: to vote, the states have and the local governments have 296 00:15:09,440 --> 00:15:12,880 Speaker 1: wiggle room to sit there and show that this is obviously. 297 00:15:12,960 --> 00:15:17,040 Speaker 1: If Mary Todd was Mary Smith and she brings her 298 00:15:17,320 --> 00:15:20,240 Speaker 1: driver's license that has her old name in it or 299 00:15:20,240 --> 00:15:22,480 Speaker 1: her new name in it, and her and her marriage 300 00:15:22,480 --> 00:15:25,440 Speaker 1: certificate and says, look, I am this person. I changed 301 00:15:25,440 --> 00:15:28,560 Speaker 1: my name, because I got married. The local government office 302 00:15:28,600 --> 00:15:31,440 Speaker 1: would sit there and say, clearly this is the same person, 303 00:15:31,480 --> 00:15:33,360 Speaker 1: she just got married, and they would allow her to 304 00:15:33,400 --> 00:15:37,240 Speaker 1: register to vote. The states are in charge of creating 305 00:15:37,280 --> 00:15:40,440 Speaker 1: these parameters to sit there and say, Okay, this is 306 00:15:40,560 --> 00:15:43,040 Speaker 1: how you can prove. Maybe you don't have your per certificate, 307 00:15:43,160 --> 00:15:45,960 Speaker 1: you have a bunch of other stuff. The left is 308 00:15:45,960 --> 00:15:49,720 Speaker 1: saying that this is a mass disenfranchisement of voters because 309 00:15:49,720 --> 00:15:53,840 Speaker 1: they got married. But I mean they're allowing other documents. 310 00:15:54,120 --> 00:15:56,320 Speaker 1: The idea that this is saying, no, you only have 311 00:15:56,360 --> 00:15:59,040 Speaker 1: to have these certain documents. It's very rigid, is not true. 312 00:15:59,360 --> 00:16:01,880 Speaker 1: States and have a lot of wiggle room to figure 313 00:16:01,880 --> 00:16:04,800 Speaker 1: out if someone's actually a citizen. Honestly, if you only 314 00:16:04,880 --> 00:16:07,160 Speaker 1: if you don't have any form of ID, if the 315 00:16:07,200 --> 00:16:09,320 Speaker 1: only you have as a profile and TikTok, maybe you 316 00:16:09,360 --> 00:16:12,840 Speaker 1: shouldn't be voting. There's a reason that they are making 317 00:16:12,880 --> 00:16:15,200 Speaker 1: this is just because the states have gotten so so 318 00:16:16,000 --> 00:16:18,440 Speaker 1: they've lost control of the whole driver's license system handing 319 00:16:18,480 --> 00:16:20,720 Speaker 1: out to illegal aliens the way that they have, So 320 00:16:21,240 --> 00:16:23,520 Speaker 1: that's why they're going this way. But no, it does 321 00:16:23,600 --> 00:16:26,960 Speaker 1: not disenfranchise people like they're saying. States and localities will 322 00:16:27,120 --> 00:16:29,840 Speaker 1: have the ability to figure out other methods if no 323 00:16:29,880 --> 00:16:32,960 Speaker 1: one has id Here's the thing I want you to 324 00:16:33,000 --> 00:16:35,720 Speaker 1: think about from the narrative, from the media's perspective, if 325 00:16:35,760 --> 00:16:40,120 Speaker 1: Republicans were so determined to disenfranchise groups from voting, why 326 00:16:40,120 --> 00:16:43,800 Speaker 1: would it be married women who vote majority Republican. The 327 00:16:43,840 --> 00:16:47,120 Speaker 1: answer to that question is obviously that that's not the case. 328 00:16:47,280 --> 00:16:50,560 Speaker 1: I think there's a lot of anxiety over nothing. Next 329 00:16:50,640 --> 00:16:53,120 Speaker 1: question comes from Tristan. He writes, what do you think 330 00:16:53,200 --> 00:16:56,560 Speaker 1: of the UAE and how it does immigration? Well, how 331 00:16:56,640 --> 00:16:59,760 Speaker 1: the UAID does immigration? Essentially, a majority of the population 332 00:16:59,840 --> 00:17:02,160 Speaker 1: is more and born. However, basically now will ever obtain 333 00:17:02,200 --> 00:17:06,520 Speaker 1: citizenship so long as they live and get zero government benefits. 334 00:17:06,560 --> 00:17:08,600 Speaker 1: Would you support some version of this in the US? 335 00:17:08,880 --> 00:17:12,399 Speaker 1: Basically that's basically the whole question, So thank you for 336 00:17:12,440 --> 00:17:17,040 Speaker 1: the question. I don't think that immigration system is compatible 337 00:17:17,119 --> 00:17:19,000 Speaker 1: with the United States. So I don't sit there and 338 00:17:19,080 --> 00:17:20,720 Speaker 1: say like, oh, wouldn't be great if we did X, 339 00:17:20,800 --> 00:17:22,760 Speaker 1: Y or Z. I kind of try to live in 340 00:17:22,800 --> 00:17:24,679 Speaker 1: the world as it is, not as I would like 341 00:17:24,720 --> 00:17:27,000 Speaker 1: it to be all the time. First of all, we 342 00:17:27,080 --> 00:17:29,800 Speaker 1: have birthright citizenships, so their kids would get citizenship. They 343 00:17:29,840 --> 00:17:33,000 Speaker 1: don't have that. Secondly, they don't have a multi billion 344 00:17:33,080 --> 00:17:37,840 Speaker 1: dollar apparatus of immigration lawyers and a plethora of progressive 345 00:17:37,920 --> 00:17:40,800 Speaker 1: judges who will say that this is horrible, that they 346 00:17:40,800 --> 00:17:43,880 Speaker 1: should get citizenship under any circumstances. And lastly, I think 347 00:17:43,920 --> 00:17:47,719 Speaker 1: that American citizens expect more. I expect more of our 348 00:17:47,760 --> 00:17:50,520 Speaker 1: country than to have it built on slave labor like 349 00:17:50,560 --> 00:17:53,879 Speaker 1: the UAE does. It's I know people have worked in 350 00:17:53,880 --> 00:17:57,880 Speaker 1: the UAE. The conditions are not great for foreign workers. 351 00:17:57,960 --> 00:18:01,720 Speaker 1: They truly treat them as human I would not want 352 00:18:01,760 --> 00:18:05,760 Speaker 1: that for foreigners who work in America. And lastly, you 353 00:18:05,760 --> 00:18:08,240 Speaker 1: know we are going to have robots take a lot 354 00:18:08,280 --> 00:18:10,640 Speaker 1: of these jobs the next few years. We need to 355 00:18:10,720 --> 00:18:15,600 Speaker 1: look into the future. What is the point what happens 356 00:18:15,640 --> 00:18:18,439 Speaker 1: when we have twenty five or thirty million people in 357 00:18:18,480 --> 00:18:22,200 Speaker 1: this country who will never be able to find work. 358 00:18:22,880 --> 00:18:26,119 Speaker 1: Why would we import more of those people? Like we 359 00:18:26,280 --> 00:18:30,640 Speaker 1: have this huge problem coming on the pipeline of American 360 00:18:30,680 --> 00:18:32,639 Speaker 1: citizens not being able to find work, why are you 361 00:18:32,720 --> 00:18:35,800 Speaker 1: adding foreigners to it? It makes no sense. We need 362 00:18:35,800 --> 00:18:40,480 Speaker 1: an immigration moratorium like yesterday. This is nuts And the 363 00:18:40,480 --> 00:18:42,880 Speaker 1: only reason we don't get this is because until they 364 00:18:42,920 --> 00:18:46,639 Speaker 1: replace the workers or robots. The corporations are demanding we 365 00:18:46,760 --> 00:18:48,960 Speaker 1: keep the cheap labor train and then we're just gonna 366 00:18:48,960 --> 00:18:51,439 Speaker 1: be dumped with all these you know, workers will have 367 00:18:51,480 --> 00:18:52,800 Speaker 1: to take care of one day who won't be able 368 00:18:52,840 --> 00:18:56,240 Speaker 1: to find jobs. And because the Democrats are just insistent 369 00:18:56,280 --> 00:18:59,560 Speaker 1: on this diversity train that all immigration is always good 370 00:19:00,240 --> 00:19:05,639 Speaker 1: moron on Morning Joe Today was like exphyxiating screaming about 371 00:19:05,640 --> 00:19:09,000 Speaker 1: how the benefits of immigration telling half truths and lies 372 00:19:09,040 --> 00:19:12,840 Speaker 1: and narratives because like they it's it's it's like part 373 00:19:12,840 --> 00:19:15,320 Speaker 1: of their DNA, like you're draining blood from their body. 374 00:19:15,320 --> 00:19:18,639 Speaker 1: If they don't have mass mass immigration to vote for 375 00:19:18,680 --> 00:19:21,480 Speaker 1: them and to change the democraphy of the country, it's 376 00:19:21,480 --> 00:19:23,840 Speaker 1: like they can't function. It's the only holding them together. 377 00:19:23,840 --> 00:19:28,200 Speaker 1: It's bizarre, interesting idea. Tristan I fundamentally rejective. Next question 378 00:19:28,200 --> 00:19:31,760 Speaker 1: comes from Meghan, who points out that she's a fellow millennial. 379 00:19:31,880 --> 00:19:36,119 Speaker 1: Megan the millennial. Meghan, as a millennial like yourself, I 380 00:19:36,400 --> 00:19:39,640 Speaker 1: have to ask you a question, did they make you 381 00:19:40,040 --> 00:19:43,320 Speaker 1: when you were in school play Oregon Trail? Because I 382 00:19:43,400 --> 00:19:46,160 Speaker 1: have never met a millennial who did not play Oregon 383 00:19:46,200 --> 00:19:50,320 Speaker 1: Trail in school and I genuinely wonder why this an 384 00:19:50,480 --> 00:19:54,639 Speaker 1: entire generation of millions of American children were going to 385 00:19:54,800 --> 00:19:58,120 Speaker 1: get something out of a video game about moving from 386 00:19:58,359 --> 00:20:01,760 Speaker 1: Saint Louis to Oregon inf like eighteen fifty and trying 387 00:20:01,760 --> 00:20:08,560 Speaker 1: to avoid several various diseases like scurvy or dysentery that 388 00:20:08,600 --> 00:20:10,800 Speaker 1: we don't deal with on a daily basis. It is 389 00:20:10,840 --> 00:20:13,360 Speaker 1: something that I thought about for years since it came 390 00:20:13,400 --> 00:20:16,439 Speaker 1: to pass fro. I'm like, what was was the goal here? 391 00:20:16,880 --> 00:20:20,080 Speaker 1: How was the generation going to that was going to 392 00:20:20,119 --> 00:20:23,399 Speaker 1: be having, you know, a computer in every room, going 393 00:20:23,480 --> 00:20:27,280 Speaker 1: to learn a lot from a game about dysentery. It 394 00:20:27,520 --> 00:20:29,560 Speaker 1: just boggles the mind. I get why we play Carmen 395 00:20:29,600 --> 00:20:32,239 Speaker 1: san Diego. I learned geography, but Oregon Trail is some 396 00:20:32,400 --> 00:20:35,600 Speaker 1: kind of experiment that never I want that. I want 397 00:20:35,640 --> 00:20:37,920 Speaker 1: the Netflix show on that. Like, how did Oregon Trail 398 00:20:37,920 --> 00:20:41,720 Speaker 1: get into every single school in the entire country? That's 399 00:20:41,920 --> 00:20:44,479 Speaker 1: the question that sits there and boggles my mind. All Right, 400 00:20:44,800 --> 00:20:46,800 Speaker 1: she says, I love your show. It breaks everything down, 401 00:20:46,880 --> 00:20:49,440 Speaker 1: makes me feel super knowledge about elections. I currently live 402 00:20:49,560 --> 00:20:52,439 Speaker 1: up in Alaska. We use rank choice voting. It is 403 00:20:52,600 --> 00:20:57,000 Speaker 1: the Alaskan voting system. Is so stupid. I'm wondering what 404 00:20:57,080 --> 00:20:59,840 Speaker 1: the numbers say about the upcoming race between Senator Danzell 405 00:21:00,200 --> 00:21:03,800 Speaker 1: and former Representative Mary Patola. It feels like ranked choice 406 00:21:03,840 --> 00:21:06,320 Speaker 1: voting complicates everything. So I was wondering if you think 407 00:21:06,400 --> 00:21:09,359 Speaker 1: dan Selva maintains his seat or if enough Independence and 408 00:21:09,359 --> 00:21:13,119 Speaker 1: Democrats will vote for Mary. Great question, Okay, Megan, this 409 00:21:13,280 --> 00:21:16,480 Speaker 1: is a very important election. This is a ranked choice 410 00:21:16,560 --> 00:21:20,160 Speaker 1: voting system that was created to save Lisa Marikowski from 411 00:21:20,200 --> 00:21:22,879 Speaker 1: being ousted in a primary. Basically, the way it works, 412 00:21:22,920 --> 00:21:25,040 Speaker 1: for those who don't know, is there's a jungle primary. 413 00:21:25,440 --> 00:21:28,399 Speaker 1: Everybody runs, all the parties running a primary together, the 414 00:21:28,480 --> 00:21:30,960 Speaker 1: top four go to a general where then it becomes 415 00:21:31,040 --> 00:21:33,120 Speaker 1: ranked choice voting. Right if you don't get number one, 416 00:21:33,200 --> 00:21:35,560 Speaker 1: then the votes are sorted out as it gets closer 417 00:21:35,600 --> 00:21:38,040 Speaker 1: and closer towards the finish line, and whoever gets fifty 418 00:21:38,080 --> 00:21:41,400 Speaker 1: percent wins. So, as far as I have seen thus far, 419 00:21:41,480 --> 00:21:45,239 Speaker 1: there are five candidates running, two Democrats, one Republican, a 420 00:21:45,280 --> 00:21:48,760 Speaker 1: Green Party, and an independent. That means that most of 421 00:21:48,800 --> 00:21:51,040 Speaker 1: the people who appear on the primary will be on 422 00:21:51,160 --> 00:21:55,119 Speaker 1: the general election. In twenty twenty, Sullivan won the election 423 00:21:55,280 --> 00:21:59,280 Speaker 1: by thirteen points with fifty four percent winning on the 424 00:21:59,359 --> 00:22:01,919 Speaker 1: first ballt Basically, he didn't even need anything else. He 425 00:22:02,040 --> 00:22:05,320 Speaker 1: just won the first time round. He will likely need 426 00:22:05,359 --> 00:22:08,919 Speaker 1: to do that again because most of the other people 427 00:22:09,040 --> 00:22:12,000 Speaker 1: running in the top four will be of the left, 428 00:22:12,400 --> 00:22:15,640 Speaker 1: but Patola will pick up most of those votes as 429 00:22:15,680 --> 00:22:18,480 Speaker 1: the as the numbers wither because another a Democrat or 430 00:22:18,480 --> 00:22:21,560 Speaker 1: a Green Party person's voting for the Democrat. Right, that's 431 00:22:21,600 --> 00:22:23,760 Speaker 1: just kind of the dynamics. So if we go on 432 00:22:23,800 --> 00:22:26,520 Speaker 1: election night and the first ballot comes out and Dan 433 00:22:26,560 --> 00:22:29,560 Speaker 1: Slovan is forty nine point eighty eight, he's very likely 434 00:22:29,600 --> 00:22:31,959 Speaker 1: going to win. If he is forty five, it's very 435 00:22:32,080 --> 00:22:34,800 Speaker 1: unlikely he's going to win. That's my opinion. And then 436 00:22:35,280 --> 00:22:37,600 Speaker 1: second opinion is the polls have come out and Patola 437 00:22:37,600 --> 00:22:41,800 Speaker 1: has been leading by two points since January. Polling in 438 00:22:41,840 --> 00:22:44,359 Speaker 1: Alaska is not great. It's one of very hard state 439 00:22:44,400 --> 00:22:48,320 Speaker 1: to poll, especially because it's so rural. In twenty twenty, 440 00:22:48,800 --> 00:22:51,640 Speaker 1: Syllivan never pulled over forty eight percent in most every 441 00:22:51,680 --> 00:22:54,160 Speaker 1: poll except for The New York Times Santa pol having 442 00:22:54,240 --> 00:22:57,119 Speaker 1: either losing or winning by three to four points. He 443 00:22:57,160 --> 00:22:59,359 Speaker 1: won by thirteen. It was very very off. I'm not 444 00:22:59,359 --> 00:23:02,560 Speaker 1: going to trust ulsters right now, especially in that state. 445 00:23:02,920 --> 00:23:07,359 Speaker 1: And my other opinion is voters just rejected Batola last year, 446 00:23:07,600 --> 00:23:10,199 Speaker 1: like she or two years ago. She ran for a 447 00:23:10,200 --> 00:23:12,719 Speaker 1: House seat, she had fourteen million dollars, a lot of money, 448 00:23:13,119 --> 00:23:15,600 Speaker 1: and voters in Alaska picked someone else for the job. 449 00:23:16,080 --> 00:23:18,840 Speaker 1: So why would they pick her again right after kicking 450 00:23:18,840 --> 00:23:21,920 Speaker 1: her out? Maybe they will. It's happened obviously, John Ausa. 451 00:23:22,000 --> 00:23:24,000 Speaker 1: But that was one small House seat. This is a 452 00:23:24,000 --> 00:23:27,240 Speaker 1: state wide seat. It's possible, but certainly in the race 453 00:23:27,320 --> 00:23:30,280 Speaker 1: is still tilt the Republican. Okay, we will be back 454 00:23:30,280 --> 00:23:35,399 Speaker 1: with Ask Me Anything. All right, We're back with the 455 00:23:35,440 --> 00:23:39,160 Speaker 1: last segment of Ask Me Anything episode. This question comes 456 00:23:39,359 --> 00:23:42,000 Speaker 1: from Jeff. He writes, high, I live in Scottsdale, Arizona. 457 00:23:42,040 --> 00:23:44,359 Speaker 1: I might be called a swing voter in the Arizona 458 00:23:44,400 --> 00:23:47,159 Speaker 1: Republican primary. I vote for the Republican nominee for governor, 459 00:23:47,440 --> 00:23:50,160 Speaker 1: but I'm undecided in a very interesting three way race. 460 00:23:50,640 --> 00:23:53,600 Speaker 1: How we'll go. There's Karen Tayler Robeson, endorsed by Trump, 461 00:23:53,640 --> 00:23:56,439 Speaker 1: and she's a Chamber of Commerce Republican, Andy Biggs, a 462 00:23:56,840 --> 00:24:00,760 Speaker 1: House Freedom Caucus member, and David Schweiker, a libertarianly in Congressman. 463 00:24:00,880 --> 00:24:03,720 Speaker 1: So since writing this email to me, Karen Taylor Robson 464 00:24:03,720 --> 00:24:06,359 Speaker 1: has decided to drop out of the race, which pretty 465 00:24:06,400 --> 00:24:07,840 Speaker 1: much came as a shock to me. I mean, I've 466 00:24:07,840 --> 00:24:09,920 Speaker 1: met her before. She's a very nice person. She's richer 467 00:24:09,960 --> 00:24:12,600 Speaker 1: than God. She had enough money to fund this race 468 00:24:12,640 --> 00:24:14,720 Speaker 1: all the way to the end, but her internals must 469 00:24:14,800 --> 00:24:18,679 Speaker 1: have been terrible because the public polling was awful, and 470 00:24:18,720 --> 00:24:20,639 Speaker 1: I guess she just didn't want to spend any more money. 471 00:24:21,080 --> 00:24:24,159 Speaker 1: According to the Emerson poll, Biggs is running away with 472 00:24:24,200 --> 00:24:27,160 Speaker 1: this primary. He's at fifty percent, Robinson was at seventeen, 473 00:24:27,160 --> 00:24:30,600 Speaker 1: and Schweiker was at eight. This is, also, by the way, 474 00:24:30,680 --> 00:24:34,399 Speaker 1: the first election in Arizona history where the governor can 475 00:24:34,520 --> 00:24:37,679 Speaker 1: I will also have a lieutenant governor on the ticket. 476 00:24:38,200 --> 00:24:44,040 Speaker 1: I have heard from friends in Arizona that the Biggs 477 00:24:44,119 --> 00:24:50,240 Speaker 1: camp has been allegedly talking about asking Erica Kirk to 478 00:24:50,359 --> 00:24:52,160 Speaker 1: run with him. Now, I don't know if this means 479 00:24:52,160 --> 00:24:55,280 Speaker 1: that she was actually asked, or they are just internally 480 00:24:55,320 --> 00:24:57,760 Speaker 1: talking about it, or things were being whispered about, but 481 00:24:57,800 --> 00:25:01,120 Speaker 1: it got back to me, so I've heard that this 482 00:25:01,200 --> 00:25:03,320 Speaker 1: is a conversation that's happened. I don't know if there's 483 00:25:03,359 --> 00:25:05,720 Speaker 1: an official offer or she's rejected. I don't think she 484 00:25:05,760 --> 00:25:08,760 Speaker 1: would accept it, but I've heard that that has been 485 00:25:09,000 --> 00:25:12,240 Speaker 1: whispered about among the Biggs camp. Who knows evidents of 486 00:25:12,280 --> 00:25:15,000 Speaker 1: being true or not. Anyway, as far as this selection goes, 487 00:25:15,119 --> 00:25:17,040 Speaker 1: it looks like Biggs has got it in the bag. 488 00:25:17,240 --> 00:25:20,160 Speaker 1: And then in the general election, Hobbs says, a slight 489 00:25:20,200 --> 00:25:22,600 Speaker 1: lead in the polling, but Republicans can still win because 490 00:25:22,640 --> 00:25:25,159 Speaker 1: Arizona's trend so far to the right since moving to 491 00:25:25,160 --> 00:25:28,840 Speaker 1: the left in twenty twenty. Okay, next question comes from Holly. 492 00:25:28,960 --> 00:25:31,800 Speaker 1: She writes, Ryan, I am curious too about the real 493 00:25:31,960 --> 00:25:33,920 Speaker 1: I'm curious with what you think about the recent murder 494 00:25:34,000 --> 00:25:35,960 Speaker 1: rate stats that came out. I don't want to take 495 00:25:36,040 --> 00:25:39,359 Speaker 1: anything away from Trump's policies or law enforcement. And it 496 00:25:39,400 --> 00:25:42,200 Speaker 1: makes sense that when you remove criminals, either deporting them 497 00:25:42,359 --> 00:25:44,760 Speaker 1: or using the National Guard in cities like DC, that 498 00:25:44,800 --> 00:25:47,359 Speaker 1: the murder rate will come down. But how much of 499 00:25:47,400 --> 00:25:50,240 Speaker 1: the reduction is because of better medical care as opposed 500 00:25:50,280 --> 00:25:54,280 Speaker 1: to fewer crimes being committed? Would a comparison of attempted 501 00:25:54,359 --> 00:25:57,439 Speaker 1: murders or thefts be a better standard? That is a great, 502 00:25:58,119 --> 00:26:02,800 Speaker 1: great point there that is very very smart, Holly. So 503 00:26:02,880 --> 00:26:05,160 Speaker 1: the correct thing is that they are both going down. Right. 504 00:26:05,200 --> 00:26:11,080 Speaker 1: They do track shootings and attempted assaults and actual homicides. 505 00:26:11,680 --> 00:26:14,800 Speaker 1: Shootings and gun assaults are down by twenty two percent 506 00:26:14,920 --> 00:26:18,200 Speaker 1: and homicides are down by twenty one percent. Homicides are 507 00:26:18,320 --> 00:26:21,240 Speaker 1: down though in part because there's medical better medical care. 508 00:26:21,280 --> 00:26:23,560 Speaker 1: That has been true, by the way four decades. Improvement 509 00:26:23,600 --> 00:26:27,840 Speaker 1: in medical care has reduced homicide deaths even while gun 510 00:26:27,880 --> 00:26:30,400 Speaker 1: shootings were very, very high, and in some places they're 511 00:26:30,480 --> 00:26:34,520 Speaker 1: still high. I mean, they're down, but there's no reason 512 00:26:34,520 --> 00:26:37,520 Speaker 1: why a city like Saint Louis or New Orleans should 513 00:26:37,520 --> 00:26:39,480 Speaker 1: be the way that it is. I mean, it is 514 00:26:41,200 --> 00:26:44,200 Speaker 1: comically corrupt and how it's done it's policing anyway, The 515 00:26:44,240 --> 00:26:48,159 Speaker 1: numbers actually fell below twenty fourteen numbers, which is considered 516 00:26:48,200 --> 00:26:51,520 Speaker 1: the safest urine record in modern history. Since the rise 517 00:26:51,520 --> 00:26:54,920 Speaker 1: of BLM. There are only two categories of crime that 518 00:26:55,000 --> 00:26:57,520 Speaker 1: the government tracks the serious crimes that actually went up 519 00:26:57,840 --> 00:27:00,639 Speaker 1: nationwide in twenty twenty five. Those were drug crimes and 520 00:27:00,680 --> 00:27:04,760 Speaker 1: sexual assaults. But aside from that, crime nationwide has gone 521 00:27:05,000 --> 00:27:08,879 Speaker 1: down and pretty substantially. Okay, last question of the podcast 522 00:27:08,920 --> 00:27:12,359 Speaker 1: on the Ask Me Anything episode comes from Chris from Cincinnati. 523 00:27:12,440 --> 00:27:15,199 Speaker 1: He said, I listened to your Friday podcast on the 524 00:27:15,240 --> 00:27:18,879 Speaker 1: Texas special election on my morning drive. Well done, Thank you. 525 00:27:19,040 --> 00:27:21,399 Speaker 1: I really enjoy that you weave your Catholic faith journey 526 00:27:21,400 --> 00:27:24,960 Speaker 1: into the podcast, as it helps listeners engage with your 527 00:27:25,119 --> 00:27:28,760 Speaker 1: values and how it frames your interpretation of data. One 528 00:27:28,840 --> 00:27:31,040 Speaker 1: issue that's been weighing on me heavily as a practicing 529 00:27:31,040 --> 00:27:34,159 Speaker 1: Catholic as immigration policy. I don't want to put you 530 00:27:34,200 --> 00:27:36,879 Speaker 1: in an awkward spot. My whole life is an awkward spot. 531 00:27:36,920 --> 00:27:40,640 Speaker 1: That's actually going to be either my autobiography or put 532 00:27:40,640 --> 00:27:43,600 Speaker 1: what you put on the coffin on the tombstone. I 533 00:27:43,640 --> 00:27:45,440 Speaker 1: lived in an awkward spot, so you're not putting me 534 00:27:45,480 --> 00:27:48,000 Speaker 1: awkward spot. I don't want to put you in awkward 535 00:27:48,000 --> 00:27:50,240 Speaker 1: spot by criticizing the Pope, so I will ask you 536 00:27:50,240 --> 00:27:51,840 Speaker 1: instead of look at the stunning amount of money that 537 00:27:51,920 --> 00:27:55,160 Speaker 1: Catholic Charities has taken as the US government's refugee resettlement 538 00:27:55,240 --> 00:27:58,560 Speaker 1: program for the past few years. I live in suburban Cincinnati. 539 00:27:58,600 --> 00:28:02,200 Speaker 1: In twenty twenty, Department of AHA just contributed seven hundred 540 00:28:02,240 --> 00:28:04,879 Speaker 1: and fifty thousand and the State Department one hundred thousand, 541 00:28:05,080 --> 00:28:07,239 Speaker 1: but by twenty twenty four that number dropped to two 542 00:28:07,280 --> 00:28:10,560 Speaker 1: point five million and nine hundred thousand. At what point 543 00:28:10,640 --> 00:28:13,160 Speaker 1: does the institution take on so much money it becomes 544 00:28:13,240 --> 00:28:17,720 Speaker 1: intellectually captured and dependent upon washingt DC bureaucrats rather than 545 00:28:18,080 --> 00:28:21,120 Speaker 1: parishioners and local dioceses. I don't mean to send cynecal 546 00:28:21,160 --> 00:28:23,480 Speaker 1: but we are criticizing Ice because we are called to 547 00:28:23,520 --> 00:28:27,280 Speaker 1: be compassionate criticism, sorry, Christians. Or are we criticizing Ice 548 00:28:27,320 --> 00:28:30,439 Speaker 1: because it's bad for business? Wow, that's a great question. 549 00:28:30,720 --> 00:28:34,879 Speaker 1: So there are multiple things. One, Catholic Charities. A majority 550 00:28:34,920 --> 00:28:39,160 Speaker 1: of Catholic Charities money from the latest numbers I've seen, 551 00:28:39,200 --> 00:28:42,360 Speaker 1: which was during the Biden administration, a majority comes from 552 00:28:42,360 --> 00:28:45,480 Speaker 1: the government. So if you never gave another dollar to 553 00:28:45,600 --> 00:28:48,640 Speaker 1: Catholic Charities, if not just you, but at anybody, it 554 00:28:48,680 --> 00:28:51,440 Speaker 1: doesn't matter. And it didn't matter under the Biden administration 555 00:28:51,480 --> 00:28:55,440 Speaker 1: because they were making money hand over foot being refugee resettlement. 556 00:28:55,480 --> 00:28:57,640 Speaker 1: I went to the border and Catholic Charities was there, 557 00:28:58,040 --> 00:29:02,960 Speaker 1: and I mean I saw migrants from Indonesia, from India 558 00:29:03,000 --> 00:29:06,760 Speaker 1: from you know, Europe, and every time I ask the 559 00:29:06,800 --> 00:29:08,920 Speaker 1: Catholic Charities person, where are they coming from. He says, Oh, 560 00:29:08,920 --> 00:29:12,080 Speaker 1: they're fleeing the cartel. I'm like, this guy's Ukrainian. What cartel? 561 00:29:12,440 --> 00:29:14,480 Speaker 1: He's like that. And he would always say the cartels 562 00:29:14,520 --> 00:29:18,360 Speaker 1: in India, the cartels in you know, in Bangladesh, the 563 00:29:18,400 --> 00:29:21,600 Speaker 1: cartels in Japan. Like everything was always a lie. Like 564 00:29:21,640 --> 00:29:23,600 Speaker 1: it was clearly a lie. But this man wasn't. It 565 00:29:23,640 --> 00:29:26,280 Speaker 1: was a laved person. It wasn't a priest. I understand 566 00:29:26,320 --> 00:29:30,160 Speaker 1: the pope and the Catholic teaching from the bishops, especially 567 00:29:30,280 --> 00:29:35,560 Speaker 1: around why they support open borders in general. It's something 568 00:29:35,600 --> 00:29:40,320 Speaker 1: that I understand, but I do not agree with. And 569 00:29:40,360 --> 00:29:42,880 Speaker 1: I will say this, and this is and I don't 570 00:29:42,880 --> 00:29:46,959 Speaker 1: really care if I offend anybody as a Catholic, as 571 00:29:47,000 --> 00:29:48,920 Speaker 1: a practicing Catholic who goes to church on Sunday and 572 00:29:48,960 --> 00:29:52,640 Speaker 1: puts money in the in my church basket every single Sunday, 573 00:29:53,160 --> 00:29:57,280 Speaker 1: and very much believes in the institution and the fabric 574 00:29:57,320 --> 00:29:59,680 Speaker 1: of Catholic education in the Catholic Church, and what Catholics 575 00:29:59,680 --> 00:30:05,320 Speaker 1: have done and to help this country. The bishops are spineless. 576 00:30:05,720 --> 00:30:09,800 Speaker 1: The bishops are one hundred percent spilensts. The pope, especially 577 00:30:09,840 --> 00:30:14,600 Speaker 1: the last Pope, absolutely spileless. They love to sit there 578 00:30:14,640 --> 00:30:18,920 Speaker 1: and play foot seat with the media and get nice coverage. Listen, 579 00:30:19,120 --> 00:30:21,920 Speaker 1: we can understand how why the Catholic Church has gotten 580 00:30:21,960 --> 00:30:25,040 Speaker 1: a ton of bad press over the last two decades. 581 00:30:25,040 --> 00:30:26,240 Speaker 1: I don't want to spell it out. We don't have 582 00:30:26,280 --> 00:30:29,160 Speaker 1: to go into it. You know what I'm talking about. However, 583 00:30:30,400 --> 00:30:33,320 Speaker 1: there are things that Catholics do that are very popular, 584 00:30:33,360 --> 00:30:36,920 Speaker 1: that are very you know, the Catholic schools educated the 585 00:30:36,960 --> 00:30:40,960 Speaker 1: best and the brightest in this country. Catholic charities, like 586 00:30:41,120 --> 00:30:43,600 Speaker 1: you know, I've done so much, not the institution, but 587 00:30:43,640 --> 00:30:47,520 Speaker 1: the Catholic charities, small Sea charities has done so much 588 00:30:47,560 --> 00:30:50,840 Speaker 1: to feed the poor and clothe them. And during the 589 00:30:50,880 --> 00:30:53,920 Speaker 1: AIDS crisis and what they did for AIDS patients. I mean, 590 00:30:54,360 --> 00:30:56,240 Speaker 1: the Catholic hospitals have done so much. I don't have 591 00:30:56,280 --> 00:30:58,920 Speaker 1: to read the whole list of things that we have 592 00:30:59,080 --> 00:31:03,040 Speaker 1: done as an institution, not mean necessarily, but every Catholic 593 00:31:03,000 --> 00:31:05,560 Speaker 1: who's out there and made sure that the church had 594 00:31:05,600 --> 00:31:08,800 Speaker 1: money to do those things did for them. They are 595 00:31:08,840 --> 00:31:12,400 Speaker 1: struggling with decades of bad publicity, and so they do 596 00:31:12,440 --> 00:31:15,320 Speaker 1: anything to be popular to a liberal consensus. And also 597 00:31:16,200 --> 00:31:20,120 Speaker 1: the church is broke, The church is bankrupt, functionally. So 598 00:31:21,520 --> 00:31:24,640 Speaker 1: the Pope is very much understanding and Rome is very 599 00:31:24,720 --> 00:31:27,920 Speaker 1: much understanding that there are a lot of Catholics of 600 00:31:28,040 --> 00:31:31,560 Speaker 1: Joe Biden and Nancy Pelosi's age range who are very 601 00:31:31,640 --> 00:31:36,600 Speaker 1: liberal and are preparing their wills, and so they want 602 00:31:36,640 --> 00:31:38,680 Speaker 1: to be part of it. Like they're not playing dumb. 603 00:31:38,720 --> 00:31:42,480 Speaker 1: They understand then the seventies and in nineteen the people 604 00:31:42,520 --> 00:31:45,240 Speaker 1: who are seventy and eighty and ninety plus are more 605 00:31:45,640 --> 00:31:48,320 Speaker 1: liberal if they are church going than twenty year olds 606 00:31:48,360 --> 00:31:50,560 Speaker 1: who are church going who are much more conservative than 607 00:31:50,560 --> 00:31:53,400 Speaker 1: prees are much more conservative. They understand that when it 608 00:31:53,440 --> 00:31:56,560 Speaker 1: comes to immigration, I take cues from and I understand 609 00:31:56,600 --> 00:31:58,520 Speaker 1: what the background of the church is that you know, 610 00:31:58,520 --> 00:32:02,200 Speaker 1: we are a global or global church where a global nation, 611 00:32:02,320 --> 00:32:04,760 Speaker 1: and we should embrace whatever. Okay, that's all good, great 612 00:32:04,760 --> 00:32:06,480 Speaker 1: and fine. That is not the world we live in. 613 00:32:07,640 --> 00:32:10,080 Speaker 1: There is a man if you're not Catholic, or you 614 00:32:10,120 --> 00:32:12,880 Speaker 1: don't even or you may be, but you're you're you're 615 00:32:13,120 --> 00:32:15,880 Speaker 1: definitely on a different level of Cathosism, then maybe I am. 616 00:32:15,920 --> 00:32:19,160 Speaker 1: As far as participation goes. There's a cardinal named Cardinal Sarah. 617 00:32:19,200 --> 00:32:23,440 Speaker 1: He's from Africa. Wonderful, very very very smart man who 618 00:32:23,520 --> 00:32:26,480 Speaker 1: has beautiful writings on a lot of things, including immigration, 619 00:32:26,880 --> 00:32:29,600 Speaker 1: and in twenty nineteen to twenty twenty, Cardinal Sarah wrote 620 00:32:29,680 --> 00:32:33,880 Speaker 1: he wrote this during the entire mass wave of refugees 621 00:32:33,920 --> 00:32:37,280 Speaker 1: moving to Europe. He said this, if the West continues 622 00:32:37,280 --> 00:32:40,120 Speaker 1: in this fatal way, that there is a great risk 623 00:32:40,160 --> 00:32:43,280 Speaker 1: that due to a lack of birth, it will disappear, disappear, 624 00:32:43,360 --> 00:32:46,400 Speaker 1: invaded by foreigners, just as Rome was invaded by barbarians. 625 00:32:46,680 --> 00:32:49,960 Speaker 1: It's better to help people flourish in their culture than 626 00:32:50,000 --> 00:32:52,920 Speaker 1: to encourage them to come to Europe in full decadence. 627 00:32:53,120 --> 00:32:55,280 Speaker 1: It is a false use of the word of God 628 00:32:55,320 --> 00:32:59,200 Speaker 1: to promote migration. If Europe disappears, and with it the 629 00:32:59,240 --> 00:33:02,240 Speaker 1: priceless value of the old Continent, Islam will invade the 630 00:33:02,240 --> 00:33:05,560 Speaker 1: world and we will completely change our culture and moral vision. 631 00:33:05,800 --> 00:33:09,600 Speaker 1: The ideology of liberal individualism promotes a mixing that is 632 00:33:09,600 --> 00:33:13,760 Speaker 1: designed to erode the natural borders of homelands and cultures 633 00:33:14,120 --> 00:33:17,000 Speaker 1: and leads to a post national and one dimensional world 634 00:33:17,000 --> 00:33:20,400 Speaker 1: where the only thing that matters is consumption and production. 635 00:33:20,680 --> 00:33:23,840 Speaker 1: I fully believe that that is a lot of my 636 00:33:24,040 --> 00:33:28,600 Speaker 1: moral compass as to why to reject immigration. There's a 637 00:33:28,640 --> 00:33:30,760 Speaker 1: lot of economic things. There's a lot of you know, 638 00:33:30,880 --> 00:33:34,000 Speaker 1: identity issues, there's a lot of electoral issues. At the 639 00:33:34,160 --> 00:33:36,520 Speaker 1: end of the day, If we are a nation that 640 00:33:36,560 --> 00:33:40,000 Speaker 1: has no identity, if Europe is a continent with no identity, 641 00:33:40,440 --> 00:33:44,240 Speaker 1: if we are just as the last immigrant who walked 642 00:33:44,280 --> 00:33:48,440 Speaker 1: through our doors, we cease as a people and they 643 00:33:48,600 --> 00:33:51,959 Speaker 1: are robbed of their national identity and culture. Doesn't mean 644 00:33:51,960 --> 00:33:54,400 Speaker 1: we can have any immigrants. That means people can never move. 645 00:33:55,240 --> 00:33:58,640 Speaker 1: But the culture and the identity that a nation is 646 00:33:58,720 --> 00:34:01,960 Speaker 1: built around is unique and is special. And as much 647 00:34:02,000 --> 00:34:05,640 Speaker 1: as we as Americans embraced the idea of rugged individualism, 648 00:34:05,680 --> 00:34:09,480 Speaker 1: we are extremely unique as a people. As a block. 649 00:34:09,840 --> 00:34:12,279 Speaker 1: There is no one else like an American. There is 650 00:34:12,320 --> 00:34:14,160 Speaker 1: no one else. I actually it's very funny. I was 651 00:34:14,200 --> 00:34:16,960 Speaker 1: took part in a poll in the UK, a panel 652 00:34:17,920 --> 00:34:21,480 Speaker 1: in the UK of Americans feelings towards Britz And they 653 00:34:21,560 --> 00:34:24,360 Speaker 1: went down the list and they asked every American where 654 00:34:24,360 --> 00:34:26,279 Speaker 1: would you move if you could move anywhere? And when 655 00:34:26,280 --> 00:34:28,279 Speaker 1: they came to me, I said, I would always live 656 00:34:28,280 --> 00:34:32,800 Speaker 1: in America. There is no place like this on the planet, 657 00:34:33,080 --> 00:34:36,520 Speaker 1: nowhere even closed. I would vacation in Italy. I would 658 00:34:36,520 --> 00:34:39,759 Speaker 1: go on a cruise somewhere. I would, you know, I 659 00:34:39,800 --> 00:34:43,279 Speaker 1: would do that, that's great. Where would I live? No, 660 00:34:43,360 --> 00:34:45,560 Speaker 1: I would I have them all back in Argentina. But 661 00:34:45,600 --> 00:34:48,040 Speaker 1: where would I live. I would only live in America. 662 00:34:48,440 --> 00:34:51,080 Speaker 1: This is my people and this is my place, and 663 00:34:51,120 --> 00:34:53,239 Speaker 1: we are unique and we are special. And I don't 664 00:34:53,280 --> 00:34:55,759 Speaker 1: want to be some other people in some other place. 665 00:34:55,800 --> 00:35:01,160 Speaker 1: And maybe I am bigoted or whatever or for saying that, 666 00:35:01,600 --> 00:35:03,640 Speaker 1: but it is how I feel. And I am a voter, 667 00:35:03,800 --> 00:35:06,920 Speaker 1: and I elect a government to reflect my interests, and 668 00:35:07,080 --> 00:35:10,279 Speaker 1: so do you, and I believe in and when it 669 00:35:10,280 --> 00:35:12,360 Speaker 1: comes to faith, I believe, in the words of Carl 670 00:35:12,440 --> 00:35:16,520 Speaker 1: Sarah that this is very important because we are robbing 671 00:35:16,560 --> 00:35:20,160 Speaker 1: in the name of rug individualism and endless capitalism where 672 00:35:20,200 --> 00:35:22,200 Speaker 1: the only thing that matters is growth for the sake 673 00:35:22,200 --> 00:35:26,080 Speaker 1: of growth. It's the ideology of libertarians and cancer cells. 674 00:35:26,880 --> 00:35:30,840 Speaker 1: We are robbing culture and identity and that it's becoming 675 00:35:30,920 --> 00:35:34,480 Speaker 1: a very, very valued thing. That is my point. Thank 676 00:35:34,480 --> 00:35:36,360 Speaker 1: you for that question, Thank you for all these questions. 677 00:35:36,440 --> 00:35:38,960 Speaker 1: We'll be back on Wednesday with another episode. Well, I'll 678 00:35:38,960 --> 00:35:40,520 Speaker 1: talk about an issue. We won't do all ask me 679 00:35:40,520 --> 00:35:42,480 Speaker 1: any things, but I love this part of the show 680 00:35:42,719 --> 00:35:44,600 Speaker 1: so Thank you everyone for emails. I still have more 681 00:35:44,640 --> 00:35:46,520 Speaker 1: emails to go. I will get to them all, I 682 00:35:46,640 --> 00:35:49,120 Speaker 1: promise you. If I skip your email, it's just because 683 00:35:49,320 --> 00:35:51,640 Speaker 1: either I don't have the research for it yet or 684 00:35:51,680 --> 00:35:53,279 Speaker 1: the data isn't in for it yet. But I will 685 00:35:53,320 --> 00:35:55,520 Speaker 1: get to you, I promise. Thank you the all for listening. 686 00:35:55,520 --> 00:35:57,520 Speaker 1: If you like this podcast, because like and subscribe to 687 00:35:57,560 --> 00:36:00,600 Speaker 1: the iHeartRadio app. Have a podcast YouTube, please subscribe to 688 00:36:00,600 --> 00:36:02,880 Speaker 1: my YouTube channel and I will see you guys on Wednesday. 689 00:36:02,920 --> 00:36:03,239 Speaker 1: Thank you,